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IPV 1.0.0

We thank an anonymous reviewer for suggesting many of the improvements in this version!

Added features

• Introduced class "IPV" for the output of the estimation function ipv_est and added first version of functions is.IPV, validate_IPV, and new_IPV.
• Chart functions now all work (exclusively) on objects of class "IPV" with facet_chart and item_chart having the user specify which of the tests should be plotted via the test argument in nested cases.
• ipv_est and input functions now (exclusively) produce output of class "IPV".
• Estimation function ipv_est can now pass further arguments to the underlying lavaan estimation function lavaan::cfa. Among other things, this makes it possible to choose the estimator and treat missing values in various ways.
• Changed example dataset HEXACO to also include cases with missing values.
• ipv_est now also works for data in long format.
• Example on how to add ggplot layers to an IPV chart to the vignette (this has been possible before, but should be emphasized)
• Optional markers for the center distances in facet and nested charts emphasize that the values are read at the border of the circles (included by default).
• When creating an item_overview, it is now possible to scale the font size (size_font =), specify the number of rows per facet to wrap overly wide charts (wrap =), scale the width (width =) and height (height =) of the file output, and select a subset of tests (tests =) and facets (facets =) for display.

Bugfixes

• resolved a warning message for nested charts that include tests without facets (no effect on output)
• Function rename renamed to relabel to avoid conflicts with other packages.
• Resolved multiple issues with inconsistent positioning of labels in item_overview charts and changed the default font to ‘sans’, since the consistent width of monospaced letters is no longer needed.
• Changed several examples to include more appropriate models at the expense of runtime.

IPV 0.2.0

Added Features

• Package now works based on raw data with automated model estimation using lavaan (function ipv_est). This is now the recommended workflow!
• New raw example data (HEXACO) from the open psychometrics project (see ?HEXACO).
• Create an overview over all (squared) factor loadings in all three models on which a nested chart is based (function item_overview).
• Refined method available to compute center distances for groups of items (parameter cd_method = "aggregate"). This is now the default method!
• Show only a section of a chart (parameters zoom_x and zoom_y)
• Convenient changing of test, facet, or item labels (function rename).
• Rotate the tick label in facet charts and nested charts to avoid overlap (parameter rotate_tick_label).
• Set the limit of the grid in item charts (parameter grid_limit).
• Set the order of facets for all charts types (parameter facet_order).
• Set the order of tests for nested charts (parameter test_order).
• Add an overall title for all chart types (parameter title).
• Draw xarrows in a nested chart that end on a test circle (instead of a facet circle) if facet1or facet2 is specified as NA for that arrow.
• Overhaul of the documentation in the vignette.

Bugfixes

• Standardized the default order of facets across facet charts and item charts. It is now consistently the order of the correlation matrix columns in data =.
• Negative correlations between facets or tests should now be displayed correctly.
• Removed an erroneous message claiming that the axis tick was set automatically when it was set manually.
• The axis tick mark (gray dotted circle) now disappears “behind” circles of facet charts and nested charts, instead of cutting through them.
• the axis tick label (number) now more reliably appears close to the axis tick mark in facet charts and nested charts.
• removed the argument show_xarrows in nested_chart, which only existed for technical reasons.

IPV 0.1.0

Release

IPV 0.1.1.

• Fixed issues due to changes to data.frame().

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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